metadata
tags:
- spacy
- token-classification
language:
- pt
model-index:
- name: pt_lg_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8397790055
- name: NER Recall
type: recall
value: 0.8360836084
- name: NER F Score
type: f_score
value: 0.8379272326
| Feature | Description |
|---|---|
| Name | pt_lg_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.4,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (6 labels for 1 components)
| Component | Labels |
|---|---|
ner |
JURISPRUDENCIA, LEGISLACAO, LOCAL, ORGANIZACAO, PESSOA, TEMPO |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
83.79 |
ENTS_P |
83.98 |
ENTS_R |
83.61 |
TOK2VEC_LOSS |
23620.33 |
NER_LOSS |
127975.46 |